73 citations as recorded by crossref.

1. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
2. Eight-Year Estimates of Methane Emissions from Oil and Gas Operations in Western Canada Are Nearly Twice Those Reported in Inventories E. Chan et al. 10.1021/acs.est.0c04117
3. The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. 10.1007/s43979-022-00033-5
4. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
5. Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
6. Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
7. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
8. Multi-model ensemble successfully predicted atmospheric methane consumption in soils across the complex landscape M. Glagolev et al. 10.18822/edgcc625761
9. Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations D. Brunner et al. 10.5194/acp-19-4541-2019
10. Evidence of a recent decline in UK emissions of hydrofluorocarbons determined by the InTEM inverse model and atmospheric measurements A. Manning et al. 10.5194/acp-21-12739-2021
11. Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC–Baltimore Metropolitan Area Using an Inverse Modeling Technique I. Lopez-Coto et al. 10.1021/acs.est.9b06619
12. Seasonal variations of atmospheric CH4 at Jingdezhen station in Central China: Understanding the regional transport and its correlation with CO2 and CO L. Xia et al. 10.1016/j.atmosres.2020.104982
13. CH4 isotopic signatures of emissions from oil and gas extraction sites in Romania M. Menoud et al. 10.1525/elementa.2021.00092
14. Analysis of total column CO<sub>2</sub> and CH<sub>4</sub> measurements in Berlin with WRF-GHG X. Zhao et al. 10.5194/acp-19-11279-2019
15. A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
16. Unveiling the drivers of atmospheric methane variability in Iran: A 20-year exploration using spatiotemporal modeling and machine learning S. Mousavi et al. 10.1016/j.envc.2024.100946
17. Estimation of greenhouse gas emission factors based on observed covariance of CO2, CH4, N2O and CO mole fractions L. Haszpra et al. 10.1186/s12302-019-0277-y
18. High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
19. Cézeaux-Aulnat-Opme-Puy De Dôme: a multi-site for the long-term survey of the tropospheric composition and climate change J. Baray et al. 10.5194/amt-13-3413-2020
20. Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
21. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
22. Continuous atmospheric CO<sub>2</sub>, CH<sub>4</sub> and CO measurements at the Observatoire Pérenne de l'Environnement (OPE) station in France from 2011 to 2018 S. Conil et al. 10.5194/amt-12-6361-2019
23. Underestimated Methane Emissions from Solid Waste Disposal Sites Reveal Missed Greenhouse Gas Mitigation Opportunities Y. Wang et al. 10.1016/j.eng.2023.12.011
24. Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system A. Tsuruta et al. 10.1080/16000889.2018.1565030
25. Analysis of 5.5 years of atmospheric CO2, CH4, CO continuous observations (2014–2020) and their correlations, at the Observatoire de Haute Provence, a station of the ICOS-France national greenhouse gases observation network L. Lelandais et al. 10.1016/j.atmosenv.2022.119020
26. Urban sources of methane characterised by long-term eddy covariance observations in central Europe M. Stichaner et al. 10.1016/j.atmosenv.2024.120743
27. A review of ozone-depleting substances and fluorinated greenhouse gases in China Y. ZHANG et al. 10.3724/j.issn.1007-2802.20240042
28. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
29. Influences of Uncertainties in the STT Flux on Modeled Tropospheric Methane Z. Wang 10.1029/2023JD039107
30. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
31. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
32. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. 10.5194/essd-13-2363-2021
33. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
34. Identifying the main drivers of the spatiotemporal variations in wetland methane emissions during 2001–2020 Y. Hu et al. 10.3389/fenvs.2023.1275742
35. Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
36. Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019 M. Makarova et al. 10.5194/amt-14-1047-2021
37. Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
38. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
39. Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
40. Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
41. Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
42. Identification of spikes associated with local sources in continuous time series of atmospheric CO, CO<sub>2</sub> and CH<sub>4</sub> A. El Yazidi et al. 10.5194/amt-11-1599-2018
43. MATHEMATICAL MODELS OF METHANE CONSUMPTION BY SOILS: A REVIEW M. Glagolev et al. 10.18822/edgcc622937
44. Hierarchical and scalable integration of nanostructures for energy and environmental applications: a review of processing, devices, and economic analyses B. Zhang et al. 10.1088/2399-1984/ab75ad
45. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
46. Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
47. How a European network may help with estimating methane emissions on the French national scale I. Pison et al. 10.5194/acp-18-3779-2018
48. Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute? L. Perugini et al. 10.1016/j.envsci.2021.04.012
49. Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al. 10.5194/acp-22-16031-2022
50. Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
51. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
52. The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
53. Effects of extreme meteorological conditions in 2018 on European methane emissions estimated using atmospheric inversions R. Thompson et al. 10.1098/rsta.2020.0443
54. National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations L. Shen et al. 10.1038/s41467-023-40671-6
55. A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
56. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012 G. Janssens-Maenhout et al. 10.5194/essd-11-959-2019
57. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
58. Identification of Potential Methane Source Regions in Europe Using δ13CCH4 Measurements and Trajectory Modeling T. Varga et al. 10.1029/2020JD033963
59. Detection of Fossil and Biogenic Methane at Regional Scales Using Atmospheric Radiocarbon H. Graven et al. 10.1029/2018EF001064
60. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
61. Global anthropogenic emissions in urban areas: patterns, trends, and challenges M. Crippa et al. 10.1088/1748-9326/ac00e2
62. Limitations of the radon tracer method (RTM) to estimate regional greenhouse gas (GHG) emissions – a case study for methane in Heidelberg I. Levin et al. 10.5194/acp-21-17907-2021
63. Comparative Study of Impacts of Typical Bio-Inspired Optimization Algorithms on Source Inversion Performance S. Mao et al. 10.3389/fenvs.2022.894255
64. Decreasing seasonal cycle amplitude of methane in the northern high latitudes being driven by lower-latitude changes in emissions and transport E. Dowd et al. 10.5194/acp-23-7363-2023
65. A Bayesian framework for deriving sector-based methane emissions from top-down fluxes D. Cusworth et al. 10.1038/s43247-021-00312-6
66. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data A. Petrescu et al. 10.5194/essd-12-961-2020
67. Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
68. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
69. Six years of continuous carbon isotope composition measurements of methane in Heidelberg (Germany) – a study of source contributions and comparison to emission inventories A. Hoheisel & M. Schmidt 10.5194/acp-24-2951-2024
70. Uncertainty of hourly-average concentration values derived from non-continuous measurements L. Haszpra & E. Prácser 10.5194/amt-14-3561-2021
71. Emulation of greenhouse‐gas sensitivities using variational autoencoders L. Cartwright et al. 10.1002/env.2754
72. A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
73. Methane emissions in the Netherlands: The Groningen field T. Yacovitch et al. 10.1525/elementa.308